Harvey AI and CoCounsel enterprise adoption

Harvey AI supports 200,000 lawyers across 3,500 organizations, while Thomson Reuters’ CoCounsel serves 1,000,000 users in legal, tax, and audit sectors. Both platforms integrate with major document management systems to enhance workflow efficiency and data security.

Harvey AI and CoCounsel enterprise adoption

Harvey AI integration and firm adoption

Harvey supports 3,500 legal organizations and 200,000 lawyers. Firms like Reed Smith, CMS, and Burges Salmon use the platform to manage client matters securely. The system routes tasks to specific agents and brings firms, clients, and co-counsel into a shared workspace. Users at Dentsu and Repsol use the tool for time savings and strategic advantage. Cuatrecasas uses the platform to focus on creating value for clients, while Adecco Group uses it to free up time for meaningful work. The platform integrates with Word, Outlook, iManage, NetDocuments, SharePoint, Google Drive, Aderant, and Ironclad. It also connects to 500+ regional knowledge sources via APIs.

Lawyers at firms like Reed Smith and CMS use Harvey to manage contracts, optimize external counsel relationships, and route tasks to specific agents within a platform that enforces the ethical walls necessary for sensitive legal work. The software helps users organize thousands of documents in one secure place and extract insights with a single query. The platform also accelerates routine reviews and sharpens negotiations. Users can see who uses the tool across teams and practice groups to guide rollouts. You already know that enterprise-grade security requires strict controls. The platform meets SOC2, CCP, GDPR, AIUC-1, ISO 27001, ISO 27701, and ISO 42001 standards.

Feature Harvey AI CoCounsel
User Base 200,000 lawyers 1,000,000 users
Primary Integrations iManage, Word, Outlook Westlaw, Practical Law
Data Security SOC2, GDPR, ISO 42001 TLS 1.2, AES-256

CoCounsel security and proprietary content

CoCounsel serves 1,000,000 users in the legal, tax, and audit sectors. It connects to Westlaw, Practical Law, Checkpoint, and Microsoft 365. Thomson Reuters uses prompting guardrails to ensure responses only draw from verified information. This approach prevents the model from producing objectionable content from the internet. The technology uses zero-retention API calls and encrypts data with TLS 1.2 and AES-256. Thomson Reuters does not use user content or prompts to train its models or third-party LLMs. The system processes all GenAI requests under the identity of Thomson Reuters.

Fiduciary-Grade AI defines the Thomson Reuters standard for high-stakes professions. This standard draws on authoritative, domain-specific content and protects work with rigorous privacy safeguards. The platform manages sensitive work through structural safeguards and subject-matter expert validation. The technology provides answers that professionals can defend by using authoritative content and expert-validated sources. The 175 years of Thomson Reuters knowledge built into the system helps professionals produce work that can be examined, explained, and defended.

Workflow efficiency and professional judgment

Efficiency gains vary by firm. Steven Hicks-Safra at Cole, Scott & Kissane says tasks that took eight or nine hours now take one and a half to two hours. Daniel Olson at Bassford Remele saves six to eight hours of attorney time on any given day. Ted Schaer at Zarwin Baum uses the tool to manage massive amounts of data and respond to client needs in a timelier fashion. Generic AI tools create risk faster than value. Does the reliance on proprietary content guarantee higher accuracy than generalist models?

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airtrain.ai

The airtrain.ai newsroom covers AI research, models and the tools built on them.

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